Shape indexing using self-organizing maps

Fast latent semantic indexing of spoken documents by using self-organizing maps

Indexing Audio Documents by using Latent Semantic Analysis and SOM

This paper describes an important application for state-of-art automatic speech recognition , natural language processing and information retrieval systems. Methods for enhancing the indexing of spoken documents by using latent semantic analysis and self-organizing maps are presented, motivated and tested. The idea is to extract extra information from the structure of the document collection an...

Green Product Consumers Segmentation Using Self-Organizing Maps in Iran

This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical,...

Multi-Scale Model-Based Skeletonization of Object Shapes Using Self-Organizing Maps

In this paper, a new skeletonization algorithm suitable for the skeletonization of sparse shape is described. It is based on Self-Organizing Maps (SOM) – a class of neural networks with unsupervised learning. The so-called structured SOM with local shape attributes such as scale and connectivity of vertices are used to determine the object shape in the form of piecewise linear skeletons. The lo...

Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing Maps

Digital document libraries are an almost perfect application arena for un-supervised neural networks. This because many of the operations computers have to perform on text documents are classiication tasks based on \noisy" input patterns. The \noise" arises because of the known inaccuracy of mapping natural language to an indexing vocabulary representing the contents of the documents. A growing...